AMD Resource Manager Overview#
The AMD Resource Manager provides administrators with tools to oversee and control the platform’s computational resources and user access. Its key capabilities include cluster management, monitoring, and maintaining teams’ access to computational resources.
Deployment Options#
AMD Resource Manager can be deployed in multiple configurations:
Standalone: Resource management features operate independently, providing cluster management, authentication, and quota allocation without AI development tools
Combined: Both AI Resource Manager and AI Workbench deployed together, providing enterprise resource management alongside AI development capabilities
When deployed as standalone, the Resource Manager focuses on infrastructure and access control. When combined with AI Workbench, it adds enterprise-grade resource management to AI development workflows.
Features#
AMD Resource Manager is built around the basic usage pattern of maintaining compute resources, setting up teams and projects, and allowing individual users to utilize the resources for their compute needs.
Cluster: The physical part of the platform installation, which can be managed in the AMD Resource Manager user interface.
Organization: An organization is built from teams. Each team can have multiple users and multiple projects.
Projects: A project contains users and a quota for their workloads. Multiple users can belong to multiple projects.
Quota: A quota is a usage limit reserved for a project. Quotas are useful for ensuring everyone gets their fair share of compute resources.
Secrets: Secure information such as API keys or credentials that can be created at the organizational level and assigned to projects. Secrets ensure workloads can access what they need without exposing sensitive data.
User: Users are individuals who require compute access for work purposes.
Storage: Storage configurations provide the project with the required credentials and connection information for workloads to access storage options like S3. Like secrets storage configurations can be created at the organizational level and assigned to projects.